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The Distribution of Earnings Profiles in Longitudinal Data

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  • George J. Borjas
  • Jacob Mincer

Abstract

We take advantage of our longitudinal data to explore individual variation in the parameters of individual earnings functions. (1) For this purpose we fit an earnings function to each of the individual histories in the sample.(2) We then try to ascertain the extent to which the estimated variation in individual parameters helps in explaining the cross-sectional variation in earnings.(3) we further inquire into the relation between the individual parameters and a vector of personal characteristics, as well as(4) into indirect (via variables and parameters) and direct effects of these characteristics on earnings.

Suggested Citation

  • George J. Borjas & Jacob Mincer, 1976. "The Distribution of Earnings Profiles in Longitudinal Data," NBER Working Papers 0143, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:0143
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    References listed on IDEAS

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    1. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, July.
    2. Weiss, Yoram & Lillard, Lee A, 1978. "Experience, Vintage, and Time Effects in the Growth of Earnings: American Scientists, 1960-1970," Journal of Political Economy, University of Chicago Press, vol. 86(3), pages 427-447, June.
    3. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Ann P. Bartel & George J. Borjas, 1977. "Middle-Age Job Mobility: Its Determinants and Consequences," NBER Working Papers 0161, National Bureau of Economic Research, Inc.
    2. J. R. Kearl, 1985. "The Covariance Structure of Earnings and Income, Compensatory Behavior and On-the-Job Investments," NBER Working Papers 1747, National Bureau of Economic Research, Inc.

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